Data Analysis

Our Experts in Data Analysis

We provide services and expertise that provide the most detailed and correct view of your data. While Ninety percent of all research is reported as frequency tables and cross tabulations, an understanding of what can be done and what is possible is the greatest security for a successful study.

All analyses, whether basic or advanced must be built into a questionnaire from the beginning through proper question formats and scaling. Clearly, one eye must focus on the questionnaire and the other on the analysis and results that create managerially useful reports. The key however is in defining the problem and in building key variables and measures that directly address the issues. Data analysis then follows with the type of analysis to fulfill the promise of the study. Like windows to the world, each window provides a different view... Survey Professionals makes sure you have the most comprehensive and correct view of your research environment and problem.

• Yes, we do top line data analysis and cross tabulations...But we also do...whatever else the project requires!
  
  Our Ph.D.s are experts in research and statistics. They are able to custom develop surveys, questions and analysis that clarify, target and produce answers for the research questions you face. Analyses we have conducted include...
  
  
• Segment identification using standard means tests (ANOVA, t-test)
• Prediction using Regression (and broader lineral model) analyses
• Discriminant Analysis for differentiating and prediction of Heavy, Light and Non user markt segments.
• Cluster Analysis for grouping of respondents into segment groups.
• Factor Analysis for identifying the segments and underlying drivers of market segments.
• CHAID and CART (classification and regression tree) Analysis for data mining and market segmentation of large datasets
• Conjoint Analysis and simulations for estimating brand share in new product development scenarios
• Pricing Simulations for estimating market demand and price setting.
• Causal Modeling (LISREL) for determining cause and effect.
• Canonical Correlation Analysis for mulitple variable
• Multidimensional Scaling analysis of preference, similarities and dissimilarities data for preference mapping, individual scaling models, and property fitting models.
  

Most researchers are clueless as to what these tools are and how they are used. Clearly, they are not needed in the majority of studies. But it is comforting to know that our researchers have the ability, tools, perspective... and experience to use them when needed. This perspective and experience assures our clients that nothing is overlooked. Innovative research combined with years of experience and expertise place you in good hands.

If you would like to talk to one of our experts, please send an e-mail sales@edusurveys.com or give us a call 801.705.4950.